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--- |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- gguf |
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- reasoning |
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- Qwen2 |
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- Qwen |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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[PRAM V2](https://huggingface.co/collections/Pinkstackorg/pram-v2-67612d3c542b9121bf15891c) |
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# 🧀 Which quant is right for you? |
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- ***Q4:*** This model should be used for super low end devices like older phones or older laptops due to its very compact size, quality is okay but fully usable. |
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- ***Q6:*** This model should be used on most modern devices, good quality and very quick responses. |
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- ***Q8:*** This model should be used on most modern devices Responses are very high quality, but its a little slower than q6 |
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- ***BF16:*** This Lossless model should only be used if maximum quality is needed; it doesn't perform well speed wise, but text results are high quality. |
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## Things you should be aware of when using PARM models (Pinkstack Accuracy Reasoning Models) 🧀 |
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This PARM is based on Qwen 2.5 0.5B which has gotten extra reasoning training parameters so it would have similar outputs to qwen QwQ (only much, smaller.), We trained with [this](https://huggingface.co/datasets/gghfez/QwQ-LongCoT-130K-cleaned) dataset. |
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it is designed to run on any device, from your phone to high-end PC. that is why we've included a BF16 quant. |
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To use this model, you must use a service which supports the GGUF file format. |
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Additionaly, this is the Prompt Template, it uses the qwen2 template. |
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``` |
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{{ if .System }}<|system|> |
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{{ .System }}<|end|> |
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{{ end }}{{ if .Prompt }}<|user|> |
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{{ .Prompt }}<|end|> |
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{{ end }}<|assistant|> |
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{{ .Response }}<|end|> |
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``` |
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Or if you are using an anti prompt: <|end|><|assistant|> |
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Highly recommended to use with a system prompt. |
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# Extra information |
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- **Developed by:** Pinkstack |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/qwen2.5-0.5b-instruct-bnb-4bit |
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This model was trained using [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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Used this model? Don't forget to leave a like :) |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
